Jeffrey Bao
Research Engineer at Mercor
Menlo Park, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYicheng Bao is a software engineer at Databricks with five years of experience building scalable platforms and ML-powered systems. He holds an MS from CMU’s Robotics Institute and a BS from UCSD, blending strong academic research in high-dimensional encoding with hands-on production work from internships at Apple, Coupa, and NTENT. Yicheng has shipped backend services, embedding pipelines, and recommendation systems, improving prediction efficiency by up to 60% and raising model accuracy through practical engineering and testing rigor. As a former co-founder of a student housing startup, he pairs product intuition with full-stack skills (React Native, Django, Flask) and cloud deployment via Docker/Kubernetes. Known for meticulous testing and performance tuning, he’s equally comfortable optimizing low-level ML inference and scaling platform infrastructure.
5 years of coding experience
6 years of employment as a software developer
University of California, San DiegoMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Carnegie Mellon University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (50)
simulation10
robotics10
reinforcement-learning10
gpu9
image-processing7
benchmarking7
paper7
keras7
image-segmentation7
hyperparameter-tuning7
object-detection6
computer-vision6
deep-learning6
data-versioning6
machine-learning6
Programming languages (6)
Github contributions (5)
Kami-code/stable-baselines3
Jul 2022 - Apr 2023
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Contributions:1 release, 460 pushes, 1 tag in 9 months
pytorchimplementationsreinforcement-learning-algorithmsstable-baselinesdeep-learning
Kami-code/SE3355-Compliers-2021-Labs
Feb 2022 - Feb 2023
Contributions:2 commits, 2 pushes in 1 year
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